Edinburgh Research Explorer

The Taboo Challenge Competition

Research output: Contribution to journalArticle

Related Edinburgh Organisations

Open Access permissions

Open

Documents

  • Download as Adobe PDF

    Accepted author manuscript, 86 KB, PDF-document

    Licence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

https://144.208.67.177/ojs/index.php/aimagazine/article/view/2779
Original languageEnglish
Pages (from-to)84-87
Number of pages4
JournalAI Magazine
Volume39
Issue number1
DOIs
Publication statusPublished - 27 Mar 2018

Abstract

Games have always been a popular domain of AI research, and they have been used for many recent competitions. However, reaching human-level performance often either focuses on comprehensive world knowledge or solving decision-making problems with unmanageable solution spaces. Building on the popular Taboo board game, the Taboo Challenge Competition addresses a different problem—that of bridging the gap between the domain knowledge of heterogeneous agents trying to jointly identify a concept without making reference to its most salient features. The competition, which was run for the first time at IJCAI 2017, aims to provide a simple testbed for diversity-aware AI where the focus is on integrating independently engineered AI components, while offering a scenario that is challenging yet simple enough not to require mastering general commonsense knowledge or natural language understanding. We describe the design and preparation of the competition, discuss results, and lessons learnt.

Download statistics

No data available

ID: 53266539